Railway Rolling Bearing Fault Diagnosis Based on Muti-scale IMF Permutation Entropy and SA-SVM Classifier;基于多尺度本征模态排列熵和SA-SVM的轴承故障诊断研究

Jixie Gongcheng Xuebao/Journal of Mechanical Engineering

Volumn 54, Issue 9, 2018, Pages 168-176

  Yao, Dechen ^a   Yang, Jianwei ^a   Cheng, Xiaoqing ^b   Wang, Xing ^c  

^a BEIJING UNIVERSITY OF CIVIL ENGINEERING AND ARCHITECTURE   (China)

^b BEIJING JIAOTONG UNIVERSITY   (China)

^c TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

EEMD; Fault diagnosis; Multi scale IMF permutation entropy; Railway rolling bearing; SA SVM

Indexed keywords

ENTROPY; FAILURE ANALYSIS; RAILROADS; ROLLER BEARINGS; WAVELET DECOMPOSITION;

EEMD; FAULT DIAGNOSIS SYSTEMS; HIGH APPLICATION VALUE; INTRINSIC MODE FUNCTIONS; PERMUTATION ENTROPY; PRACTICAL ENGINEERING; ROLLING BEARINGS; SA-SVM;

FAULT DETECTION;

EID: 85051398540     PISSN: 05776686     EISSN: None     Source Type: Journal    
DOI: 10.3901/JME.2018.09.168     Document Type: Article

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